Help - Help Page to Adessowiki environment and system usage

What is Adessowiki

Welcome do adessowiki. This is a collaborative platform to scientific programming and documents writting, initially dedicated to image processing, with support for programming languages Python/C/C++.

Adessowiki platform is based on open source initiatives such as Python, Django, LaTex and others.

This project is a collaborative result between UNICAMP and Centro de Tecnologia de Informação (CTI) Renato Archer.

Sign in in Adessowiki

Adessowiki is organized in namespaces. Users of Adessowiki can have three levels of permissions on each namespace:

  1. Read the html files
  2. Read the source text that generates the html files
  3. Write and save the source text that generates the html files

You need to set up an username and password to register in Adessowiki. Use the "sign in" link on the upper right corner of the Adessowiki window. If you have a key string to use during the signing up process, this will give you access to namespaces implicitly specified by the key.

Follow these steps to sign in: Sign in instructions.

Versions and Packages installed:

 1 import scipy
 2 import sklearn
 3 import cv2
 4 import skimage
 5 import pybrain
 6 import matplotlib
 7 
 8 print 'Python version', sys.version[:5]
 9 print 'numpy version', numpy.version.version
10 numpy.__config__.show()
11 print 'scipy version', scipy.version.version
12 print 'sklearn version', sklearn.__version__
13 print 'skimage version', skimage.__version__
14 print 'matplotlib version', matplotlib.__version__
15 #print 'pybrain version', pybrain.version
16 print 'opencv version', cv2.__version__
17 print mmversion()
Python version 2.7.3
numpy version 1.11.0
lapack_info:
    libraries = ['lapack', 'lapack']
    library_dirs = ['/usr/lib']
    language = f77
lapack_opt_info:
    libraries = ['lapack', 'lapack', 'blas', 'blas']
    library_dirs = ['/usr/lib']
    language = c
    define_macros = [('NO_ATLAS_INFO', 1), ('HAVE_CBLAS', None)]
openblas_lapack_info:
  NOT AVAILABLE
blas_info:
    libraries = ['blas', 'blas']
    library_dirs = ['/usr/lib']
    define_macros = [('HAVE_CBLAS', None)]
    language = c
atlas_3_10_blas_threads_info:
  NOT AVAILABLE
atlas_threads_info:
  NOT AVAILABLE
atlas_3_10_threads_info:
  NOT AVAILABLE
atlas_blas_info:
  NOT AVAILABLE
atlas_3_10_blas_info:
  NOT AVAILABLE
atlas_blas_threads_info:
  NOT AVAILABLE
openblas_info:
  NOT AVAILABLE
blas_mkl_info:
  NOT AVAILABLE
blas_opt_info:
    libraries = ['blas', 'blas']
    library_dirs = ['/usr/lib']
    language = c
    define_macros = [('NO_ATLAS_INFO', 1), ('HAVE_CBLAS', None)]
atlas_info:
  NOT AVAILABLE
atlas_3_10_info:
  NOT AVAILABLE
lapack_mkl_info:
  NOT AVAILABLE
mkl_info:
  NOT AVAILABLE
scipy version 0.14.0
sklearn version 0.15.2
skimage version 0.10.1
matplotlib version 1.4.2
opencv version 2.4.6.1
SDC Morphology Toolbox for Python-numpy V1.6 12aug2011 (build 2000)

Sandboxes available:

default:

1 import multiprocessing as mp
2 import psutil
3 
4 print 'CPU count:', mp.cpu_count()
5 print 'Memory:'
6 print '    total: %9.3f MB' % (psutil.phymem_usage().total/1e06,)
7 print '    used:  %9.3f MB' % (psutil.phymem_usage().used/1e06,)
8 print '    free:  %9.3f MB' % (psutil.phymem_usage().free/1e06,)
CPU count: 4
Memory:
    total:  4197.487 MB
    used:   1166.725 MB
    free:   3030.761 MB

xsb_mmorph_3

1 import multiprocessing as mp
2 import psutil
3 
4 print 'CPU count:', mp.cpu_count()
5 print 'Memory:'
6 print '    total: %9.3f MB' % (psutil.phymem_usage().total/1e06,)
7 print '    used:  %9.3f MB' % (psutil.phymem_usage().used/1e06,)
8 print '    free:  %9.3f MB' % (psutil.phymem_usage().free/1e06,)
ERROR: Open failed: cannot connect to sandbox [queue: "xsb_mmorph_3"]

xsb_pirangi

1 import multiprocessing as mp
2 import psutil
3 import theano.tensor as T
4 
5 print 'CPU count:', mp.cpu_count()
6 print 'Memory:'
7 print '    total: %9.3f MB' % (psutil.phymem_usage().total/1e06,)
8 print '    used:  %9.3f MB' % (psutil.phymem_usage().used/1e06,)
9 print '    free:  %9.3f MB' % (psutil.phymem_usage().free/1e06,)
Using gpu device 0: Tesla C2050 (CNMeM is disabled)
CPU count: 4
Memory:
    total:  4134.490 MB
    used:   1015.476 MB
    free:   3119.014 MB

Programing in Python/NumPy

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